Abstract

Background

The objective of the study is to define the most appropriate region for intensity normalization in brain 18FDG PET semi-quantitative analysis. The best option could be based on previous absolute quantification studies, which showed that the metabolic changes related to ageing affect the quasi-totality of brain regions in healthy subjects. Consequently, brain metabolic changes related to ageing were evaluated in two populations of healthy controls who underwent conventional (n = 56) or digital (n = 78) 18FDG PET/CT. The median correlation coefficients between age and the metabolism of each 120 atlas brain region were reported for 120 distinct intensity normalizations (according to the 120 regions). SPM linear regression analyses with age were performed on most significant normalizations (FWE, p < 0.05).

Results

The cerebellum and pons were the two sole regions showing median coefficients of correlation with age less than − 0.5. With SPM, the intensity normalization by the pons provided at least 1.7- and 2.5-fold more significant cluster volumes than other normalizations for conventional and digital PET, respectively.

Conclusions

The pons is the most appropriate area for brain 18FDG PET intensity normalization for examining the metabolic changes through ageing.

Details

Title
The pons as reference region for intensity normalization in semi-quantitative analysis of brain 18FDG PET: application to metabolic changes related to ageing in conventional and digital control databases
Author
Verger, A 1 ; Doyen, M 1 ; Campion, J Y 2 ; Guedj, Eric 3   VIAFID ORCID Logo 

1  Université de Lorraine, Department of Nuclear Medicine and Nancyclotep Imaging Platform, Nancy, France (GRID:grid.29172.3f) (ISNI:0000 0001 2194 6418); Université de Lorraine, IADI, INSERM U1254, Nancy, France (GRID:grid.29172.3f) (ISNI:0000 0001 2194 6418) 
2  Aix-Marseille Université, CNRS, Ecole Centrale de Marseille, UMR 7249, Institut Fresnel, Marseille, France (GRID:grid.5399.6) (ISNI:0000 0001 2176 4817); Aix-Marseille University, CERIMED, Marseille, France (GRID:grid.5399.6) (ISNI:0000 0001 2176 4817) 
3  Aix-Marseille Université, CNRS, Ecole Centrale de Marseille, UMR 7249, Institut Fresnel, Marseille, France (GRID:grid.5399.6) (ISNI:0000 0001 2176 4817); Aix-Marseille University, CERIMED, Marseille, France (GRID:grid.5399.6) (ISNI:0000 0001 2176 4817); Timone University Hospital, Department of Nuclear Medicine, Assistance Publique Hôpitaux de Marseille, Marseille, France (GRID:grid.411266.6) (ISNI:0000 0001 0404 1115) 
Publication year
2021
Publication date
Mar 2021
Publisher
Springer Nature B.V.
e-ISSN
2191219X
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1186/s13550-021-00771-0
ProQuest document ID
2504631338
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.